Apr. 13, 2026
Source:
On April 12, the China EV100 “Commercial Vehicle Sustainable Development Forum” was held in Beijing. Huang Gang, President of Rino.ai, was invited to attend and delivered a keynote speech titled “Empowering the Commercial Vehicle Ecosystem with Autonomous Driving: Rino.ai’s Practice and Breakthroughs in Unmanned Logistics Vehicles.”
He provided a comprehensive overview of Rino.ai’s progress in Autonomous Delivery Vehicles, including mass-production achievements, technological innovation, and commercialization practices, offering actionable insights for the intelligent transformation of the commercial vehicle industry.
The presentation highlighted Rino.ai’s advancements in L4 autonomous vehicles, Autonomous Vehicles in Logistics, and scalable deployment of Autonomous Cargo Vans, reinforcing its leadership in Autonomous Delivery Service and real-world Middle Mile Logistics Solutions applications.
The commercial vehicle industry is currently accelerating its transition toward electrification, intelligence, and low-carbon development. Rino.ai, a leading L4 autonomous driving company, focuses on R&D of Autonomous Delivery Vehicles and adheres to a full automotive-grade production and ecosystem collaboration approach.
The company is effectively addressing industry challenges such as fragmented pilot projects, difficulty in mass production, and limited scalability, and is driving Driverless Delivery Vehicles from pilot demonstrations toward large-scale commercial deployment and Autonomous Delivery Service.
In his keynote, Huang Gang highlighted the Rino RX Autonomous Cargo Van, the industry’s first fully automotive-grade unmanned logistics vehicle.
The RX is a native L4 commercial vehicle developed for large-scale deployment, co-developed with Xinyuan Automobile over 18 months. It features a design lifespan of 8 years / 300,000 km, complies with 63 vehicle regulations, uses 100% automotive-grade components, and is supported by 65 leading suppliers.
The vehicle has completed over 1,000 component validations, 100+ full-vehicle molds, and 200,000 km of reliability testing, enabling true all-weather Autonomous Delivery Service operations for Autonomous Delivery Vehicles.
In terms of scenario adaptability, the Rino RX Autonomous Cargo Van adopts a platform-based and modular design, supporting multiple upper-body configurations such as parcel compartments, refrigerated boxes, standard cargo bays, and automated loading systems. It covers applications including express delivery, retail, cold chain, and intra-city distribution, enabling a versatile Autonomous Delivery Vehicle for multi-scenario use.
On the business model side, Rino.ai builds a dual-engine strategy combining technology and operations. Through Rino Inside, it provides integrated hardware-software autonomous driving solutions for OEM partners, supporting their intelligent transformation. It also launched Fleet as a Service (FaaS) to reduce asset ownership costs and improve fleet utilization.
In ecosystem development, Rino.ai collaborates with OEMs, logistics operators, and scenario partners to accelerate mass production and operational deployment. Together with Xinyuan, the company has established over 1,100 after-sales and maintenance service centers nationwide, supported by 7,500+ professionals, delivering 24/7 service coverage to ensure reliable large-scale Autonomous Delivery Service operations.
At the end of the keynote, Huang Gang issued an industry initiative on behalf of Rino.ai, calling for open collaboration, opposition to excessive competition, promotion of healthy industry development, and joint ecosystem building. He also urged improvements in regulatory frameworks, expansion of road access resources, and stronger policy support to advance China’s Autonomous Delivery Vehicles industry toward high-quality growth and global leadership in intelligent logistics.
The appearance at the China EV100 Forum further demonstrated Rino.ai’s core strengths in automotive-grade mass production, full-scenario adaptability, and ecosystem integration. Moving forward, the company will continue to strengthen R&D, optimize product performance, and expand application scenarios, empowering the sustainable development of commercial vehicles through Autonomous Driving AI and driving China’s smart logistics industry to the next level.
